I've built and deployed end-to-end AI and machine learning pipelines at Developer Tag and IC Markets, spanning data ingestion, feature engineering, model training, deployment, monitoring, and computer vision workflows. My work includes RAG platforms, AI agents, LLM-powered enterprise applications, predictive analytics, intelligent routing, and recommendation systems.
I use Python, TensorFlow, PyTorch, Hugging Face Transformers, LangChain, FastAPI, Docker, Kubernetes, MLflow, and cloud services across AWS, Azure, and GCP to deliver reliable production AI services. I've also built scalable ETL/ELT pipelines with PySpark, Airflow, dbt, Databricks, SQL, and Apache Spark for high-volume data and real-time inference.
In projects, I've integrated GPT-4 with AWS and Dataiku for a clinical document-indexing RAG system, and built an Azure insurance analytics platform with recommendation, routing, sentiment analysis, chatbot, and dashboard capabilities.
